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Product Case
6 months ago
What's the formula for determining the retention rate of a product?
Data Scientist

Cure.Fit

OpenDoor

Faire

If it's a subscription based product,  After usage of the product I check how many users continue with the subscriotion after 7 days, 15days, 1 month, 3 months and 6 month. The % of users who continue to have the subscriotion after the above time periods are the retained users



For non subscription products, I can check weekly or monthly retention by finding % of users who come back to product the week or month after using

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6 months ago
ML Knowledge
6 months ago
When it comes to sharing machine learning results with stakeholders, what steps do you take to ensure they are actionable?
Data Scientist

Cure.Fit

Squarespace

Electronic Arts

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6 months ago
Statistics
6 months ago
In your view, what do you think might have caused the noticeable difference in performance between the control and variant groups in an A/B test?
Data Scientist

Cure.Fit

Dollar Shave Club Logo

Dollar Shave Club

Rivian Logo

Rivian

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6 months ago
ML Knowledge
8 months ago
Could you define what an ROC curve is and what is meant by AUC in predictive modeling?
Data Scientist

Cure.Fit

Mailchimp Logo

Mailchimp

Microsoft Logo

Microsoft

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8 months ago
Statistics
8 months ago
In simple terms, how would you convey the meaning of the P-value to a layperson on the team?
Data Scientist

Cure.Fit

Illumina Logo

Illumina

BetterUp Logo

BetterUp

P-value means the significant value for a test. if test result is less than it, which means there is an effect on the changes, it test result is greater than it, there is no difference between the changes. For example, in our case, we tested two different web pages, one is the original and one is the revised. Our target metric is conversion rate, if test result less than p value, which means the revised web pages can increase conversion rate over a certain level, it not, vice versa. 

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8 months ago
ML Knowledge
8 months ago
Could you discuss the advantages and disadvantages of using Rectified Linear Unit as an activation function?
Data Scientist

Cure.Fit

Eventbrite Logo

Eventbrite

ASML Logo

ASML

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8 months ago
ML Knowledge
8 months ago
How does the Random Forest technique function in the context of decision-making algorithms?
Data Scientist

Cure.Fit

Digit Logo

Digit

Figma Logo

Figma

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8 months ago
Behavioral
8 months ago
Let us know about a time when you made a mistake at work.
Data ScientistData Engineering ManagerUX ResearcherEngineering Manager

Cure.Fit

Box Logo

Box

Amdocs Logo

Amdocs

+1

I was managing organization wide restructuring program where goal was to map all resources with their delivery accounts to keep a track of account’s PnL and manage capability as cost centre. We also intended to design KRA and KPIs for each individual level to make our Performance Assessment data driven and transparent. This was a big change at employee level at professional and emotional level too. It meant changes in their reporting structures, extra reporting and performance management by all managers, clear KPIs alignment and selection.

Planning Level: We identified all the major business account heads, capability and other function head and organized a communication platform to make them aware and comfortable with the changes. We undertook their inputs on pros and cons and some caution to be exercised

Execution Level: We started executing these changes with L0 level employees and moved up to leadership team. Along the way we encountered some risks and outlier conditions to be managed.

Communication Strategy: We worked with all business and functional heads on our communication strategy to reach out to all the employees. Head multiple events and workshops to discuss the changes.

Data Platform changes: Evaluated all the data platform changes required and planned a phased out approach to bring those changes in the system as well.

However, when we were about to reach closure of this program, I realized that I have made a big mistake of readiness of our existing platforms to support all the changes required and existing data integrity. It really took a toll on everyone involved to clear up data accuracy before the changes could be introduced.

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8 months ago
Behavioral
8 months ago
What is your most significant achievement?
Data ScientistProgram ManagerFrontend EngineerFull Stack Software Engineer

Cure.Fit

Cognizant Logo

Cognizant

Babylon Health Logo

Babylon Health

+5

During my career I manage a large number of projects, but one of the most challenging ones was the development and launch of a Telematic Control Unit for an important car maker in Japan. The project is important to me due to technical challenges we faced, the skills I applied and the impact on the company.

As Program manager my role was to lead a cross-functional team including Design Engineers, SW Engineers, Operations teams, Material procurement teams, quality and logistics, among others to successfully launch the product to mass production.

First, I kicked-off the project. For that, I shared with the team the project scope, the goals to achieve, I shared the project plan with key milestones and defined the roles and responsibilities for the different team members.

During execution, to maintain a clear communication, I set up design review sessions with the entire engineering organization to ensure everyone was aligned and fixing potential issues in advance. Besides, I led a weekly core-team meeting where we assigned tasks to team members, and setting clear deadlines for each task. To make these tasks easier to manage, I made sure tasks were broken down into manageable sizes with clear descriptions and acceptance criteria. This helped the team to stay focus on their deliveries and maintain speed.

Another important part was to manages Risks. I worked with the team to identify and classify possible risk that might impact to the project deliverables. We defined a Risk matrix to monitor during the development process, and also a project board with the main KPIs to achieve during each stage of the project.

To ensure quality, we defined different testing processes focused on the design, and the process. We installed specific quality check for the documents and devices delivered for each of the milestones of the PDP, as well as a clear quality control in mass production.

Finally, for transparency, I reported on monthly basis to our company leaders and customer about the project status, focusing on Timing, cost, quality and scope.

By employing these strategies, we successfully launched our module on time matching with all the requirements defined by our customer. This was a great example of teamworking, and taught me the importance of breaking down large projects into smaller and easy to manage pieces. Transparent and clear communication was also a great lesson learned. This approach helped me to improve in leading teams through complex problems.

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8 months ago
ML Knowledge
9 months ago
Can you walk me through how Principal Component Analysis functions?
Data Scientist

Cure.Fit

Stripe Logo

Stripe

Noom Logo

Noom

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9 months ago

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Data Scientist

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Statistical
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Cure.Fit

Data Scientist

Prepare for Metrics and Experimentation interview at Cure.Fit

Metrics and Experimentation
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Cure.Fit

Data Scientist

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ML / Modeling
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Cure.Fit

Data Scientist

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Problem Solving
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Cure.Fit

Data Scientist

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SQL
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Cure.Fit

Data Scientist

Prepare for Resume Review interview at Cure.Fit

Resume Review
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Cure.Fit

Data Scientist

Prepare for Behavioral interview at Cure.Fit

Behavioral

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*All interview questions are submitted by recent Cure.Fit Data Scientist candidates, labelled and categorized by Prepfully, and then published after being verified by Data Scientists at Cure.Fit.

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